ZIP code
96023
in Dorris, CaliforniaPopulation 1,178
29.32/ 100
Ranked #30,901 of 32,066 US ZIPs (bottom 3.7%)
Ranked #1,682 of 1,719 California ZIPs (bottom 2.2%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Fine-particle (PM2.5) exceedance
9.3%
in the top 0.10% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Fair or poor health
36.2%
in the top 2.0% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Self-care disability
8.1%
in the top 2.6% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Independent-living disability
15.0%
in the top 2.6% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Vision disability
10.5%
in the top 3.9% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Mobility disability
26%
in the top 2.4% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Loud transportation noise
4.5%
in the top 1.7% nationally
Lower is healthier
ST89thUS98thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Cognitive disability
22.1%
in the top 3.7% nationally
Lower is healthier
ST95thUS96thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Child-care access
0.91 per 1,000 residents
in the top 2.9% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of child day-care services inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Stroke
6.0%
in the top 4.1% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
By the composite measure, Dorris, California (ZIP 96023) sits in the bottom 3.7% nationally (30,901st) and the bottom 2.2% of California (1,682nd).
The main burdens in the data show plainly and lead the picture: modeled fine-particle settles in the top 0.10% nationally, fair or poor health stands in the top 2.0% nationally, and self-care disability is in the top 2.6% nationally. Modeled independent living disability rests in the top 2.6% nationally, vision disability sits in the top 3.9% nationally, and mobility disability registers in the top 2.4% nationally. Modeled loud transportation noise lands in the top 1.7% nationally, and cognitive disability resides in the top 3.7% nationally. Modeled stroke lies in the top 4.1% nationally. More positively, childcare settles in the top 2.9% nationally.
Compared with the ZIPs that surround it, park land runs far higher than the surrounding ZIPs on this measure. In plain language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 96058, just across the boundary, ranks healthier overall.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 72%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 2%
7%
Healthcare Access
healthier than 25%
5%
Nothing measured is lifting this score.
About typical
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 30%
14%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 2%
7%
Healthcare Access
healthier than 16%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
96058
Californiashares a border
Score 33.87
Closest healthier
96064
Californiashares a border
Score 47.89
Similar health profile
95941
California98% similar profile
Score 33.52
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 32.7% | 29.1–36.3 |
| High blood pressure among adults | 41.5% | 37.1–45.8 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.2 |
| Current asthma among adults | 11.8% | 10.4–13.3 |
| Coronary heart disease among adults | 11.0% | 9.8–12.2 |
| Chronic obstructive pulmonary disease among adults | 13.1% | 11.3–14.8 |
| Depression among adults | 25.8% | 21.9–29.6 |
| Diagnosed diabetes among adults | 17.6% | 15.3–19.9 |
| High cholesterol among adults who have ever been screened | 40.9% | 36.3–45.4 |
| Obesity among adults | 36.6% | 28.4–45.1 |
| Stroke among adults | 6.0% | 5.4–6.6 |
| All teeth lost among adults aged >=65 years | 24.3% | 20.2–28.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.7% | 12.7–18.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.8% | 72.7–78.6 |
| Visits to doctor for routine checkup within the past year among adults | 72.8% | 68.5–76.6 |
| Cholesterol screening among adults | 82.3% | 79.9–84.5 |
| Colorectal cancer screening among adults aged 45–75 years | 58.5% | 52.3–64.3 |
| Visited dentist or dental clinic in the past year among adults | 49.9% | 46.0–54.0 |
| Mammography use among women aged 50-74 years | 69.7% | 60.9–77.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.9% | 11.2–16.7 |
| Current cigarette smoking among adults | 21.2% | 18.1–24.1 |
| No leisure-time physical activity among adults | 36.2% | 30.6–41.9 |
| Short sleep duration among adults | 36.5% | 29.7–43.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 36.2% | 31.9–40.4 |
| Frequent mental distress among adults | 21.0% | 18.6–23.4 |
| Frequent physical distress among adults | 21.7% | 19.1–24.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.1% | 19.5–24.5 |
| Any disability among adults | 46.4% | 41.1–51.5 |
| Hearing disability among adults | 10.8% | 9.5–12.0 |
| Independent living disability among adults | 15.0% | 13.2–16.7 |
| Mobility disability among adults | 26.0% | 22.7–29.0 |
| Self-care disability among adults | 8.1% | 7.2–9.0 |
| Vision disability among adults | 10.5% | 9.3–11.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.2% | 24.2–32.7 |
| Food insecurity in the past 12 months among adults | 29.6% | 25.5–34.0 |
| Received food stamps in the past 12 months among adults | 33.2% | 28.9–37.7 |
| Housing insecurity in the past 12 months among adults | 20.7% | 17.9–23.8 |
| Lack of reliable transportation in the past 12 months among adults | 14.9% | 13.0–16.9 |
| Loneliness among adults | 36.2% | 31.0–42.0 |
| Utility services shut-off threat in the past 12 months among adults | 12.5% | 10.8–14.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 21.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 25.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 17.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 10.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 11.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 79.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 32.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 59.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 19.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 41.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 28.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $47,237 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $171,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $734 | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.8 yr ± 2.34 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 yr (76.7–83.8) n=1,665 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 2.34 years of 79.8, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured